{"id":"W3040747002","doi":"10.1007/s10843-020-00279-z","title":"Managing uncertain consequences of a global crisis: SMEs encountering adversities, losses, and new opportunities","year":2020,"lang":"en","type":"article","venue":"Journal of International Entrepreneurship","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":128,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Government (linguistics); Business; Population; Health care; World population; Economic growth; Development economics; Developing country; Economics; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004578156,0.000469356,0.0004197313,0.0009999803,0.005298928,0.01260091,0.0009530212,0.004313231,0.005579936],"category_scores_gemma":[0.01126342,0.000227685,0.0003088538,0.001148066,0.003279639,0.008475957,0.008078592,0.003955975,0.0007522108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002575747,"about_ca_system_score_gemma":0.006017917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005549754,"about_ca_topic_score_gemma":0.01099653,"domain_scores_codex":[0.9980274,0.0008048661,0.00006985416,0.0001077705,0.000225087,0.0007649601],"domain_scores_gemma":[0.9933183,0.001768689,0.001195109,0.0001828986,0.0008713247,0.002663707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001221027,0.0008528332,0.1932543,0.001130301,0.0004518542,0.02673368,0.2171711,0.01456518,0.006764553,0.1545256,0.1069846,0.2763449],"study_design_scores_gemma":[0.00004058671,0.0003733071,0.04806554,0.001041636,0.0001376799,0.002822417,0.737288,0.007702307,0.001085811,0.09354335,0.1077385,0.0001608129],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7436822,0.004114385,0.005734065,0.147012,0.0009336767,0.00006894964,0.0001888281,0.0001230901,0.09814283],"genre_scores_gemma":[0.9950601,0.001269948,0.0006060658,0.00136967,0.0001154644,0.00001200658,0.00002927461,0.00001639279,0.001521011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01260091,"threshold_uncertainty_score":0.02421188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06323940563796884,"score_gpt":0.2618046187188058,"score_spread":0.198565213080837,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}